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WBT - Explainability and Interpretability of AI

(ITEM_73166)

0,5 hour
Access: 365 Days
WEB BASED TRAINING (WBT)
Multiple Languages

Objectives

The Participant:

  • Knows the importance of explainability in the AI context.
  • Understands the system’s output and the conditions that led to a particular output.
  • Gets an overview of the main explainability techniques that can be used to explain the output of AI systems to achieve full transparency.

Content

  • Motivations for explainability.
  • Fully interpretable ML models.
  • Global and local explainability methods.
  • Special techniques for NLP and computer vision.

Target Group

  • All employees.

Prerequisites

  • Some knowledge of machine learning.

Available Trainings

Upcoming Training

Sessions Available

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